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AL-Rafidain Journal of Computer Sciences and Mathematics

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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset

    Najlaa Badie Aldabagh Mafaz Muhsin Khalil

AL-Rafidain Journal of Computer Sciences and Mathematics, 2010, Volume 7, Issue 3, Pages 121-140
10.33899/csmj.2010.163917

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Abstract

This paper compares between two models: Common Genetic algorithm and  the new Clonal selection theory in the field of Intrusion Detection. Genetic algorithms (GA) which is a model of genetic evolution, while Clonal selection theory (CST) is from models of the natural immune system NIS,  the two models are from two different fields of Artificial Intelligence AI but they have portion of shared operations and objectives. The comparison to be done by applying the two models on some records of Knowledge Discovery and Data mining tools which is known by the name KDD data sets (its records the data of the interring packets to the computer system from the internet), to produce population ( in case of GA) or antibodies (in case of CST) can recognize these abnormal records.         
 
 
Keywords:
    Genetic algorithm Clonal selection theory Intrusion Detection KDD data
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(2010). Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset. AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), 121-140. doi: 10.33899/csmj.2010.163917
Najlaa Badie Aldabagh; Mafaz Muhsin Khalil. "Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset". AL-Rafidain Journal of Computer Sciences and Mathematics, 7, 3, 2010, 121-140. doi: 10.33899/csmj.2010.163917
(2010). 'Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset', AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), pp. 121-140. doi: 10.33899/csmj.2010.163917
Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset. AL-Rafidain Journal of Computer Sciences and Mathematics, 2010; 7(3): 121-140. doi: 10.33899/csmj.2010.163917
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